Methods and Systems for Industrial Internet of Things Data Collection in Downstream Oil and Gas Environment

3. The method of claim 2, further comprising combining two or more of the plurality of detection values from the plurality of detection values into a single fused detection value, wherein the determining the sensor priority value is further in response to the single fused detection value, and wherein the adjusting the data storage profile is further in response to each of the two or more of the plurality of detection values combined into the single fused detection value.

4. The method of claim 1, wherein the status parameter comprises at least one of a current state of the industrial production process, a current condition for one of the plurality of components, a current condition for one of the plurality of input sensors, a current process stage, a future state of the industrial production process, a future condition for at least one of the plurality of components, or a future process stage.

5. The method of claim 1, wherein analyzing the subset of the plurality of detection values to determine the status parameter comprises utilizing at least one of a neural net or an expert system.

8. The method of claim 7, further comprising combining two or more of the plurality of detection values from the plurality of detection values into a single fused detection value, wherein the determining the sensor priority value is further in response to the single fused detection value, and wherein the adjusting the data storage profile is further in response to each of the two or more of the plurality of detection values combined into the single fused detection value.

9. The method of claim 6, wherein the status parameter comprises at least one of a current state of the industrial production process, a current condition for one of the plurality of components, a current condition for one of the plurality of input sensors, a current process stage, a future state of the industrial production process, a future condition for at least one of the plurality of components, or a future process stage.

12. The method of claim 11, further comprising combining two or more of the plurality of detection values from the plurality of detection values into a single fused detection value, wherein the determining the sensor priority value is further in response to the single fused detection value, and wherein the adjusting the data storage profile is further in response to each of the two or more of the plurality of detection values combined into the single fused detection value.

13. The method of claim 10, wherein the status parameter comprises at least one of a current state of the industrial production process, a current condition for one of the plurality of components, a current condition for one of the plurality of input sensors, a current process stage, a future state of the industrial production process, a future condition for at least one of the plurality of components, or a future process stage.

16. The method of claim 15, further comprising combining two or more of the plurality of detection values from the plurality of detection values into a single fused detection value, wherein the determining the sensor priority value is further in response to the single fused detection value, and wherein the updating the data storage profile is further in response to each of the two or more of the plurality of detection values combined into the single fused detection value.

17. The method of claim 14, wherein the status parameter comprises at least one of a current state of the industrial production process, a current condition for one of the plurality of components, a current condition for one of the plurality of input sensors, a current process stage, a future state of the industrial production process, a future condition for at least one of the plurality of components, or a future process stage.